A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors.

Autor: Jia X; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China., Fan J; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China., Wu X; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China., Cao X; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.; Department of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China., Ma L; Department of Geriatrics, National Clinical Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China., Abdelrahman Z; Molecular Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University Belfast, Institute for Clinical Sciences A, Royal Victoria Hospital, Belfast, BT12 6BA, UK., Zhao F; Hangzhou Meilian Medical Co., Ltd., Hangzhou, 311200, China., Zhu H; Hangzhou Meilian Medical Co., Ltd., Hangzhou, 311200, China., Bizzarri D; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.; The Delft Bioinformatics Lab, Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, 2628 CC, The Netherlands., Akker EBVD; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.; The Delft Bioinformatics Lab, Pattern Recognition & Bioinformatics, Delft University of Technology, Delft, 2628 CC, The Netherlands., Slagboom PE; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands., Deelen J; Max Planck Institute for Biology of Ageing, 50931, Cologne, Germany.; Cologne Excellence Cluster on Cellular Stress Responses in Ageing-Associated Diseases (CECAD), University of Cologne, 50931, Cologne, Germany., Zhou D; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China., Liu Z; Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang Key Laboratory of Intelligent Preventive Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Publikováno v: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Nov; Vol. 11 (43), pp. e2406670. Date of Electronic Publication: 2024 Sep 27.

The performance of metabolomics-based prediction scores for mortality in older patients with solid tumors.

Autor: van Holstein Y; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands. Y.van_Holstein@lumc.nl., Mooijaart SP; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands.; LUMC Center for Medicine for Older People, Leiden University Medical Center, Leiden, The Netherlands., van Oevelen M; Department of Internal Medicine, Section of Nephrology, Leiden University Medical Center, Leiden, The Netherlands., van Deudekom FJ; Department of Geriatric Medicine, OLVG Hospitals Amsterdam, Amsterdam, The Netherlands., Vojinovic D; Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.; Department of Epidemiology, Erasmus Medical Center, University Medical Centre, Rotterdam, The Netherlands., Bizzarri D; Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.; Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands., van den Akker EB; Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.; Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands., Noordam R; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands., Deelen J; Max Planck Institute for Biology of Ageing, Cologne, Germany.; Cologne Excellence Cluster On Cellular Stress Responses in Ageing-Associated Diseases (CECAD), University of Cologne, Cologne, Germany., van Heemst D; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands., de Glas NA; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands., Holterhues C; Department of Internal Medicine, Haga Hospital, The Hague, The Netherlands., Labots G; Department of Internal Medicine, Haga Hospital, The Hague, The Netherlands., van den Bos F; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands., Beekman M; Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands., Slagboom PE; Department of Biomedical Data Sciences, Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands., van Munster BC; Department of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands., Portielje JEA; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands., Trompet S; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO box 9600, 2300 RC, Leiden, The Netherlands.

Publikováno v: GeroScience [Geroscience] 2024 Dec; Vol. 46 (6), pp. 5615-5627. Date of Electronic Publication: 2024 Jul 04.

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Epigenetic and Metabolomic Biomarkers for Biological Age: A Comparative Analysis of Mortality and Frailty Risk.

Autor: Kuiper LM; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.; Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands., Polinder-Bos HA; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands., Bizzarri D; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.; Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands., Vojinovic D; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands., Vallerga CL; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands., Beekman M; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands., Dollé ET; Center for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands., Ghanbari M; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands., Voortman T; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands., Reinders MJT; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.; Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands., Verschuren WMM; Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands.; Julius Center for Health Sciences and Primary Care Utrecht, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands., Slagboom PE; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.; Max Planck Institute for the Biology of Ageing, Cologne, Germany., van den Akker EB; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.; Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands., van Meurs JBJ; Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands.; Department of Orthopaedics and Sports Medicine, Erasmus MC, Rotterdam, The Netherlands.

Publikováno v: The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2023 Oct 09; Vol. 78 (10), pp. 1753-1762.

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